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Xiaojuan Qi

22 papers hereh-index 7120 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author6

Across the 17 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.ET5
  • cs.AR3
  • cs.LG3
  • cs.RO3
  • cs.CR1
same name
  • Xiaojuan Qi — 76 papers, h 59
  • Xiaojuan Qi — 16 papers, h 8
  • Xiaojuan Qi — 16 papers, h 5
  • Xiaojuan Qi — 16 papers, h 6
  • Xiaojuan Qi — 13 papers, h 6
  • Xiaojuan Qi — 13 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedSpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features

8 citations · 11 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.ET2024★ 1 cited

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN

Bo Wang, Shaocong Wang, Ning Lin +12

There is unprecedented development in machine learning, exemplified by recent large language models and world simulators, which are artificial neural networks running on digital co…

cs.AR2024

Dynamic neural network with memristive CIM and CAM for 2D and 3D vision

Yue Zhang, Woyu Zhang, Shaocong Wang +14

The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are stati…

cs.ET2024

Efficient and accurate neural field reconstruction using resistive memory

Yifei Yu, Shaocong Wang, Woyu Zhang +16

Human beings construct perception of space by integrating sparse observations into massively interconnected synapses and neurons, offering a superior parallelism and efficiency. Re…

cs.AR2024

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model

Jichang Yang, Hegan Chen, Jia Chen +19

Human brains image complicated scenes when reading a novel. Replicating this imagination is one of the ultimate goals of AI-Generated Content (AIGC). However, current AIGC methods,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.